Eyewitness accuracy and confidence: within- versus between-subjects correlations

Previous researchers using between-subjects comparisons have found eyewitness confidence and accuracy to be only negligibly correlated. In this study, we examined the predictive power of confidence in within-subject terms. Ninety-six subjects answered, and made confidence ratings for, a series of questions about a crime they witnessed. The average between-subjects and within-subject accuracy-confidence correlations were comparably low: r = .14 (p less than .001) and r = .17 (p less than .001), respectively. Confidence is neither a useful predictor of the accuracy of a particular witness nor of the accuracy of particular statements made by the same witness. Another possible predictor of accuracy, response latency, correlated only negligibly with accuracy (r = -.09 within subjects), but more strongly with confidence (r = -.27 within subjects). This pattern was obtained for both between-subjects and within-subject comparisons. The theoretical and practical implications of these results are discussed.     

Pursuing and distancing: the construct and its measurement

Although the concept of interpersonal pursuing and distancing has been introduced and used clinically, the lack of a reliable and valid measure has deterred its more formal investigation and relevance to personality theory. The Pursuing-Distancing (P-D) Scale, a 92-item measure of the behavioral expression of these characteristics, was developed. Evidence for internal consistency as well as internal support of construct validity is presented and discussed. An 80-item revised scale is available from the authors and is currently being evaluated in a variety of external validation settings.     

Evaluation of the BSRI masculine and feminine items using desirability and stereotype ratings

This study empirically tested Bem's (1974) assumption that the BSRI Masculinity and Femininity scales measure sex-typed standards of desirable behavior for men and women in American society. The adequacy of items in the two scales was evaluated by Bem's (1974) criteria using two types of desirability and stereotype ratings. Results obtained in all the experimental conditions except one involving Bem's desirability instructions and Bem's rating scale did not support the tested assumption. Implications of these results for revising the BSRI scales were discussed.     

Correspondence analysis used complementary to loglinear analysis

Loglinear analysis and correspondence analysis provide us with two different methods for the decomposition of contingency tables. In this paper we will show that there are cases in which these two techniques can be used complementary to each other. More specifically, we will show that often correspondence analysis can be viewed as providing a decomposition of the difference between two matrices, each following a specific loglinear model. Therefore, in these cases the correspondence analysis solution can be interpreted in terms of the difference between these loglinear models. A generalization of correspondence analysis, recently proposed by Escofier, will also be discussed. With this decomposition, which includes classical correspondence analysis as a special case, it is possible to use correspondence analysis complementary to loglinear analysis in more instances than those described for classical correspondence analysis. In this context correspondence analysis is used for the decomposition of the residuals of specific restricted loglinear models.